{"id":"W4298288718","doi":"10.2139/ssrn.2184721","title":"Trade, Wages, and Productivity","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Productivity; Economics; Labour economics; Business; International trade; Macroeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00111996,0.0003024078,0.000330024,0.001139333,0.0005138703,0.003294889,0.0003270204,0.001638567,0.01687811],"category_scores_gemma":[0.01304901,0.0002489625,0.0004261599,0.002755047,0.00148593,0.002144059,0.0007743702,0.001636198,0.001792662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009380758,"about_ca_system_score_gemma":0.0007558971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008118351,"about_ca_topic_score_gemma":0.008584516,"domain_scores_codex":[0.999621,0.0001216229,0.00002824528,0.00007063594,0.00006929905,0.00008908439],"domain_scores_gemma":[0.9907143,0.006121013,0.001907554,0.0003658446,0.0003007735,0.0005904284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000558921,0.0004647115,0.8613394,0.000242509,0.0004307175,0.0006524237,0.001473987,0.01392162,0.0004168382,0.05260914,0.010667,0.05722268],"study_design_scores_gemma":[0.0000768426,0.0001708211,0.7868552,0.0002194629,0.0002881071,0.0005021214,0.0034141,0.01162762,0.0003067075,0.1859077,0.01056982,0.0000615133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9265866,0.01507745,0.002852932,0.01486361,0.0003470631,0.00001649246,0.001709783,0.00009124681,0.03845485],"genre_scores_gemma":[0.992057,0.002236672,0.0001800956,0.0001999947,0.0002502338,0.000005130744,0.0002307633,0.000008261588,0.004831873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01687811,"threshold_uncertainty_score":0.05646288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03096169199418291,"score_gpt":0.1995995686691904,"score_spread":0.1686378766750075,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}